Deployment Of Machine Learning Models For Discernment Of Threats


Ontology type: sgo:Patent     


Patent Info

DATE

2017-12-14T00:00

AUTHORS

HARMS, Kristopher William , SONG, Renee , RAJAMANI, RAJ , RUSSELL, Braden , SOHN, Alice , IPSEN, Kiefer

ABSTRACT

A mismatch between model-based classifications produced by a first version of a machine learning threat discernment model and a second version of a machine learning threat discernment model for a file is detected. The mismatch is analyzed to determine appropriate handling for the file, and taking an action based on the analyzing. The analyzing includes comparing a human-generated classification status for a file, a first model version status that reflects classification by the first version of the machine learning threat discernment model, and a second model version status that reflects classification by the second version of the machine learning threat discernment model. The analyzing can also include allowing the human-generated classification status to dominate when it is available. More... »

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